Evaluation of treatment responses among subgroups of breast cancer patients receiving neoadjuvant chemotherapy

Author:

Dagıstanli Sevinc1,Sonmez Suleyman2,Bulut Nilufer3,Kose Ali Mertcan4

Affiliation:

1. Department of General Surgery, Kanuni Sultan Suleyman Research and Training Hospital, Istanbul, Turkey

2. Department of Radiology, Kanuni Sultan Suleyman Research and Training Hospital, Istanbul, Turkey

3. Department of Medical Oncology, Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey

4. Department of Computer Programming, Vocational School, Istanbul Ticaret University, Istanbul, Turkey

Abstract

ABSTRACT Background: Breast MRIs are helpful for determining treatment plans, responses, and prospective survival analyses. In this retrospective cross-sectional study, we compared the preoperative MRI treatment response to neoadjuvant chemotherapy (NAC) administration with the postoperative pathological response in breast cancer patients. Materials and Methods: We analyzed data from 108 hospitalized patients receiving NAC between 2020 and 2022. We used MRI to evaluate the treatment response to NAC in patients with locally advanced breast cancers who had not received any prior treatment. We recorded the longest diameter of the primary tumor and the numbers of secondary tumors and axillary lymph nodes. In addition, we examined the correlation between the MRI response rate and pathological specimen results. Results: In our subgroup analyses, we found the best pathological response in patients with luminal B (Ki-67 index >14%) breast cancer and positivity for both hormone receptor and HER-2 markers. After comparing the pathological and radiological treatment responses in tumors and lymph nodes, the sensitivities were 90.3% for the pathological assessment and 42.8% for the radiological assessment, while the accuracies were 84.2% for the pathological assessment and 61.1% for the radiological assessment. Conclusion: Using MRI techniques and sequence intervals and examining the histopathological characteristics of tumors may help increase the accuracy of the pathological complete response.

Publisher

Medknow

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